
def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						int:
				if len(lowerCamelCase    ) != len(lowerCamelCase    ):
								raise ValueError("""The length of profit and weight must be same."""    )
				if max_weight <= 0:
								raise ValueError("""max_weight must greater than zero."""    )
				if any(p < 0 for p in profit    ):
								raise ValueError("""Profit can not be negative."""    )
				if any(w < 0 for w in weight    ):
								raise ValueError("""Weight can not be negative."""    )

				# List created to store profit gained for the 1kg in case of each weight
				# respectively.  Calculate and append profit/weight for each element.
				UpperCamelCase_:				List[Any]						=    [p / w for p, w in zip(lowerCamelCase  ,     lowerCamelCase    )]

				# Creating a copy of the list and sorting profit/weight in ascending order
				UpperCamelCase_:				Dict						=    sorted(lowerCamelCase    )

				# declaring useful variables
				UpperCamelCase_:				List[Any]						=    len(lowerCamelCase    )
				UpperCamelCase_:				Dict						=    0
				UpperCamelCase_:				Dict						=    0
				UpperCamelCase_:				Tuple						=    0

				# loop till the total weight do not reach max limit e.g. 15 kg and till i<length
				while limit <= max_weight and i < length:
								# flag value for encountered greatest element in sorted_profit_by_weight
								UpperCamelCase_:				Any						=    sorted_profit_by_weight[length - i - 1]
								UpperCamelCase_:				Any						=    profit_by_weight.index(lowerCamelCase    )
								UpperCamelCase_:				Union[str, Any]						=    -1

								# check if the weight encountered is less than the total weight
								# encountered before.
								if max_weight - limit >= weight[index]:
												limit += weight[index]
												# Adding profit gained for the given weight 1 ===
												# weight[index]/weight[index]
												gain += 1 * profit[index]
								else:
												# Since the weight encountered is greater than limit, therefore take the
												# required number of remaining kgs and calculate profit for it.
												# weight remaining / weight[index]
												gain += (max_weight - limit) / weight[index] * profit[index]
												break
								i += 1
				return gain


if __name__ == "__main__":
							print(
							    """Input profits, weights, and then max_weight (all positive ints) separated by """
							    """spaces."""
							)

							lowerCamelCase_    :			Tuple    =	[int(x) for x in input("""Input profits separated by spaces: """).split()]
							lowerCamelCase_    :			Dict    =	[int(x) for x in input("""Input weights separated by spaces: """).split()]
							lowerCamelCase_    :			str    =	int(input("""Max weight allowed: """))

							# Function Call
							calc_profit(profit, weight, max_weight)








from __future__ import annotations







def 							A__       (    lowerCamelCase    )	->						bool:
				UpperCamelCase_:				Optional[int]						=    len(lowerCamelCase    )
				# We need to create solution object to save path.
				UpperCamelCase_:				List[str]						=    [[0 for _ in range(lowerCamelCase    )] for _ in range(lowerCamelCase    )]
				UpperCamelCase_:				Dict						=    run_maze(lowerCamelCase  ,     0  ,     0  ,     lowerCamelCase    )
				if solved:
								print("""\n""".join(str(lowerCamelCase    ) for row in solutions    )    )
				else:
								print("""No solution exists!"""    )
				return solved







def 							A__       (    lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase  ,     lowerCamelCase    )	->						bool:
				UpperCamelCase_:				Dict						=    len(lowerCamelCase    )
				# Final check point.
				if i == j == (size - 1):
								UpperCamelCase_:				Union[str, Any]						=    1
								return True

				UpperCamelCase_:				List[str]						=    (not i < 0) and (not j < 0)  # Check lower bounds
				UpperCamelCase_:				List[str]						=    (i < size) and (j < size)  # Check upper bounds

				if lower_flag and upper_flag:
								# check for already visited and block points.
								UpperCamelCase_:				Dict						=    (not solutions[i][j]) and (not maze[i][j])
								if block_flag:
												# check visited
												UpperCamelCase_:				Optional[Any]						=    1

												# check for directions
												if (
												    run_maze(lowerCamelCase  ,     i + 1  ,     lowerCamelCase  ,     lowerCamelCase    )
												    or run_maze(lowerCamelCase  ,     lowerCamelCase  ,     j + 1  ,     lowerCamelCase    )
												    or run_maze(lowerCamelCase  ,     i - 1  ,     lowerCamelCase  ,     lowerCamelCase    )
												    or run_maze(lowerCamelCase  ,     lowerCamelCase  ,     j - 1  ,     lowerCamelCase    )
												):
																return True

												UpperCamelCase_:				Optional[Any]						=    0
												return False
				return False


if __name__ == "__main__":
							import doctest

							doctest.testmod()






